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Grey Level Estimation for Discrete Tomography

  • K. J. Batenburg
  • W. van Aarle
  • J. Sijbers
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5810)

Abstract

Discrete tomography is a powerful approach for reconstructing images that contain only a few grey levels from their projections. Most theory and reconstruction algorithms for discrete tomography assume that the values of these grey levels are known in advance. In many practical applications, however, the grey levels are unknown and difficult to estimate. In this paper, we propose a semi-automatic approach for grey level estimation that can be used as a preprocessing step before applying discrete tomography algorithms. We present experimental results on its accuracy in simulation experiments.

Keywords

Grey Level Penalty Function Reconstruction Algorithm Projection Data Projection Angle 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • K. J. Batenburg
    • 1
  • W. van Aarle
    • 1
  • J. Sijbers
    • 1
  1. 1.IBBT - Vision LabUniversity of AntwerpBelgium

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